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A high‐fat meat, dairy and sweets pattern is negatively associated with BMI in Mexican preschool children
Author(s) -
Peterson Karen E.,
Jiang Yunyun,
Zhang Zhenzhen,
Sanchez Brisa N.,
Ettinger Adrienne S.,
Cantoral Alejandra,
Park Sung Kyun,
Tellez-Rojo Martha Maria
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.130.8
Subject(s) - medicine , breastfeeding , obesity , demography , percentile , body mass index , nutrition transition , quantile regression , environmental health , pediatrics , endocrinology , overweight , statistics , mathematics , sociology
Dietary patterns have been related to adult obesity in countries undergoing the nutrition transition, but few studies have examined these relationships during sensitive periods for development of child obesity. We describe dietary patterns and their cross‐sectional associations with BMI among 1041 Mexico City children aged 4 yr. Principal components analysis of 100 FFQ items defined 3 patterns: Vegetable/fish; Fruits/grains; Meats/dairy/sweets. We used quantile regression to model the association of each factor with BMI at 10th, 25th, 50th, 75th, and 90th percentiles of the analytic sample, adjusting for child's age, sex, energy intake, birth weight; breastfeeding duration; maternal BMI, schooling. Mean child BMI was 15.9, BW 3.1 kg, breastfeeding 8.5 mo; maternal BMI 26.0, schooling 10.4 yr. The Meat/dairy/sweets pattern was higher in fat, protein and calcium and associated with lower BMI across all quantiles (10th ‐0.19, p=.0004; 25th ‐0.11, p=.005; 50th ‐ 0.12, p=.014; ‐0.17, p=.002), except the highest (‐0.16, p=.16). This pattern could be related to lower BMI at 4 yr of age if children are experiencing higher linear growth but have not have undergone adiposity rebound. Further research should address the association of dietary patterns with longitudinal BMI and stature trajectories. Research support: NIEHS/EPA P20 ES01817101/RD834800 and NIEHS R01 ES007821 ; P30 ES017885.